Search Packages

lifelines

Survival analysis in Python

reliability

Reliability engineering toolkit for Python - https://reliability.readthedocs.io/en/latest/

scikit-survival

Survival analysis built on top of scikit-learn

skpro

A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python

pycox

Survival analysis with PyTorch

xgbse

Improving XGBoost survival analysis with embeddings and debiased estimators

torchsurv

Deep survival analysis made easy

surpyval

A Python package for survival analysis. The most flexible survival analysis package available. SurPyval can work with arbitrary combinations of observed, censored, and truncated data. SurPyval can also fit distributions with 'offsets' with ease, for example the three parameter Weibull distribution.

predictr

Weibull Analysis Tools

survivaleval

The most comprehensive Python package for evaluating survival analysis models.

orange3-survival-analysis

🍊 :heavy_plus_sign: Survival Analysis add-on for Orange3 data mining suite.

crforest

Competing-risks random survival forests for Python. 10-22× faster than rfSRC on real EHR data, scales to n=10⁶ in ~1 min, sklearn-compatible.

crisp-nam

CRISP-NAM: Competing Risks Interpretable Survival Prediction with Neural Additive Models

fracability

Python toolbox to analyse fracture networks for digitalized rock outcrops.

random-survival-forest

A Random Survival Forest implementation for python inspired by Ishwaran et al. - Easily understandable, adaptable and extendable.

bess

Best Subset Selection algorithm for Regression, Classification, Count, Survival analysis

insurance-survival

Survival analysis for UK insurance pricing: cure models, competing risks, recurrent events, CLV, lapse tables, coherent cause-specific mortality, proper scoring rules. Extends lifelines with insurance-specific gaps.

kaplanmeier

kaplanmeier is an python library to create survival curves using kaplan-meier, and compute the log-rank test.

survshap

SurvSHAP(t): Time-dependent explanations of machine learning survival models

survivalist

Model agnostic and probabilistic survival analysis

survival-datasets

Common datasets in survival analysis.

fife

Finite-Interval Forecasting Engine: Machine learning models for discrete-time survival analysis and multivariate time series forecasting

icare

Individual Coefficient Approximation for Risk Estimation (ICARE) model

deepsurvk

Implementation of DeepSurv using Keras